Senior Staff Software Engineer, ASIC, Platforms Infrastructure Engineering

1 Month ago • 8-16 Years • Research & Development • $248,000 PA - $349,000 PA

Job Summary

Job Description

This Senior Staff Software Engineer role at Google focuses on ASICs software development within the Platforms Infrastructure Engineering team. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing software solutions for Google's AI/ML ambitions. The engineer will design hardware/software interfaces, build firmware for embedded processors, architect debugging tools, develop ASIC simulators, and contribute to chip bring-up and hardware debugging. The role requires extensive experience in software development, testing, design, and architecture, with a strong understanding of embedded systems and computer architecture.
Must have:
  • 8+ years software development experience
  • 5+ years testing and launching software products
  • 3+ years software design and architecture experience
  • C++ programming expertise
  • Embedded systems experience
  • ASIC knowledge
Good to have:
  • Master's/PhD in relevant field
  • Technical leadership experience
  • Cross-functional project experience
  • RTOS knowledge (Zephyr, FreeRTOS)
  • Computer architecture expertise
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in an organization involving cross-functional, or cross-business projects.
  • Knowledge of common industry standard RTOSes (e.g. Zephyr, FreeRTOS).
  • Knowledge of computer architecture.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a team member in the Application-Specific Integrated Circuits (ASICs) Software team, you will contribute to this technology that powers Google’s AI/ML ambitions and enables the state-of-the-art AI/ML applications for Google and Cloud customers. We develop C++ code that controls and monitors ASICs. It runs on small embedded processors and directly handles interrupts and many other hardware-centric features. We have a direct role in the initial debug and bring-up of new ASICs, and are among the first teams to use the new chips.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Design, develop, test, deploy, maintain, and enhance software solutions.
  • Design hardware/software interface, work closely with the hardware design and development teams.
  • Design and build firmware running on 32/64-bit embedded processors with limited memory footprints on the accelerator ASICs.
  • Architect, design and develop tools to update and debug ASIC firmware. Enable chip bring-up and hardware debugging.
  • Build functional or cycle-level simulators that bit-accurately model the custom accelerator ASICs. Build tools and infrastructure to help ASIC design verification, tapeout, and bring-up. Develop embedded CPU simulators as part of the full system simulator.

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